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Host Factors Potentially Contributing to Increased Susceptibility in Certain Layer Chicken Lines
Yiqun Chen1, Junlong Xiong2, Yicheng Wang1
1College of Animal Science, Xichang University, Xichang 615000, China.
Current Issues in Molecular Biology
|April 27, 2026
Summary
Commercial layers show higher avian influenza (AI) susceptibility than broilers due to immune and replication differences. Understanding host factors can guide tailored AI control strategies for poultry.
Area of Science:
- Veterinary Virology
- Immunology
- Poultry Science
Background:
- Avian influenza (AI) poses a significant threat to global poultry production.
- Commercial layer chickens may be more susceptible to AI than broiler chickens under certain conditions.
Purpose of the Study:
- To review experimental AI infection studies focusing on H9N2, H5N1, H5N2, H7N7, and H7N9 viruses.
- To evaluate host determinants influencing differential susceptibility in poultry.
- To inform breed-specific AI management strategies.
Main Methods:
- Comprehensive PubMed search of published experimental AI infection studies.
- Narrative review synthesizing data on viral replication and immune responses.
- Critical evaluation of host factors like microRNAs, MHC, sialic acid receptors, microbiota, and hormones.
Main Results:
- Consistent disparities in immune regulation and viral replication dynamics reported between layer and broiler lines.
- Host determinants including genetic (MHC), molecular (microRNAs, receptors), microbial (microbiota), and endocrine factors contribute to varied AI susceptibility.
- Findings integrated across different AI virus subtypes and pathogenicity levels.
Conclusions:
- Differential susceptibility of poultry breeds to avian influenza is influenced by a complex interplay of host factors.
- Understanding these host determinants is crucial for developing effective, breed-tailored vaccination, nutritional, and therapeutic strategies against AI.
- This review provides a foundation for targeted AI control in commercial poultry populations.
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